Companies · AI / ML
BOZEMAN · AI / ML · refined from filed group “Other Technology” · https://www.snowflake.com/en/
Diligence memoA one-page analyst read on Snowflake Computing, Inc. — recommendation, valuation, rhythm, risks.→Snowflake Computing, Inc. looks under-valued against its niche peers and is active on financing cadence.
Synthesized from the figures below est. — every claim rests on a number shown on this page. Valuation uses the ai/ml sector profile.
Analyst read est. — computed against this company's niche peers in the same era. Inputs shown; not a quoted figure.
No named principal in this company's public records yet — see all operators below.
Explore how these operators interlock with other companies in the operator network.
Snowflake Computing, Inc. is one of 2067 AI / ML companies tracked from BOZEMAN. By capital raised it ranks among the largest (ahead of 100% of sector peers), and among the largest by modeled valuation est..
Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.
AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%
operates a technology-led product inferred from public copy
Grounded in: “You are a venture analyst”
Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.
Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation. See how leading teams deploy agents at scale. Find a stop near you. Register free. Ask anything with Snowflake CoWork. Build anything with Snowflake CoCo. Welcome to your one-stop shop for everyone in the enterprise. From ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications, Snowflake helps you innovate faster and do more with your data. Save time on building, configuring and tuning infrastructure with an easy, fully managed platform that’s integrated across data types and clouds. Snowflake’s rich ecosystem and interoperability with open table formats means you can maximize value from all your data, apps and models. Support your most demanding workloads with always-on, unified security, governance, observability and disaster recovery, regardless of cloud or region. The Snowflake platform is a fully managed service that’s truly easy to use, connected across your entire data estate and trusted by thousands of customers. Build reliable, continuous data pipelines for the enterprise
Trades publicly as Snowflake AI Data Cloud.
As reported in public records reported — not modeled.
Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.
The line shows cumulative reported funding over the period; + labels show new capital added between points when there is room. Toggle on-bar figures, plus the niche-peer and market averages, to read this company against its cohort. Benchmarks are modeled medians.
Stages are modeled from round size (public records carry no series label). No record for: Seed — the company may have raised it under a different exemption, merged it into an adjacent record, or skipped it. Sequence completeness: 86%.
Round size and date are reported; the stage label is inferred from round size (latest is Growth/Late — a round over $400M). Valuation is modeled from stage benchmarks scaled by the ai/ml sector profile. Directional, not a quoted figure.
Benchmarked against 2067 companies in AI / ML. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.
Raised more than 100% of sector peers (real $). Modeled value above 99% of peers (estimate).
A tighter cohort than the sector chart above — only companies at the same stage (Growth/Late) that last raised in the same ~3-year era, ranked by modeled value est. (not money raised). This is the exact set the analyst read compares against, so a like-for-like cohort is what makes "over/under-valued" meaningful. This company ranks #8 of 8.
| Company | Stage | Raised · real | Value · est | vs peer med. |
|---|---|---|---|---|
| Databricks, Inc. | Growth/Late | $12.1B | $41.5B | 4.84× |
| Genesys Cloud Services Topco LLC | Growth/Late | $1.8B | $16.8B | 1.96× |
| Crusoe Energy Holdings Inc. | Growth/Late | $2.2B | $11.0B | 1.28× |
| Integris AI Healthcare Group, Inc. | Growth/Late | $1.0B | $9.5B | 1.11× |
| Grammarly, Inc. | Growth/Late | $1.4B | $7.6B | 0.89× |
| Lightning AI, Inc. | Growth/Late | $435.5M | $4.4B | 0.51× |
| Lovable Labs Inc | Growth/Late | $637.9M | $4.3B | 0.51× |
| Snowflake Computing, Inc. this company | Growth/Late | $2.4B | $3.7B | 0.43× |
Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| Pre-Seed | $900K | 2012-08-24 | $5.0M | $49.7M | 90% |
| Series A | $5.0M | 2013-03-08 | $22.7M | $180.6M | 90% |
| Series B | $19.9M | 2014-04-02 | $110.8M | $791.4M | 90% |
| Series C | $78.8M | 2015-02-27 | $525.6M | $3.2B | 90% |
| Series C | $100.0M | 2017-03-24 | $666.7M | $4.1B | 90% |
| Series D+ | $264.5M | 2018-01-12 | $2.2B | $10.9B | 90% |
| Series D+ | $263.5M | 2018-01-12 | $2.2B | $10.9B | 90% |
| Growth/Late | $437.3M | 2018-10-09 | $4.4B | $18.5B | 90% |
| Growth/Late | $461.4M | 2018-10-09 | $4.6B | $19.6B | 90% |
| Growth/Late | $478.8M | 2020-02-07 | $4.8B | $20.3B | 90% |
| Growth/Late | $621.5M | 2022-04-05 | $6.2B | $16.6B | 90% |
| Growth/Late | $376.1M | 2026-02-02 | $3.8B | $3.7B | 90% |
Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.
Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.
Officers, directors and promoters named in this company's public recordsreported — the people who run it (not its investors). "Also runs" counts come from name-matching across all records, so verify before acting.
| Person | Role | Also runs | Tied since |
|---|---|---|---|
| Michael L. Speiser | — | 8 other | 2012-08 |
| John McMahon | — | 6 other | 2012-08 |
| Carl Eschenbach | — | 5 other | 2018-01 |
| Michael Speiser | — | 5 other | 2026-02 |
| Frank Slootman | — | 4 other | 2018-01 |
| Mark McLaughlin | — | 4 other | 2026-02 |
| John L. Walecka | — | 3 other | 2012-08 |
| Michael P. Scarpelli | — | 3 other | 2018-01 |
| John D. McMahon | — | 2 other | 2022-04 |
| Robert Muglia | — | 2 other | 2012-08 |
| Sridhar Ramaswamy | — | 2 other | 2026-02 |
| Vivek Raghunathan | — | 2 other | 2026-02 |
| Brian Robins | — | 1 other | 2026-02 |
| Jayshree Ullal | — | 1 other | 2026-02 |
| Jeremy Burton | — | 1 other | 2012-08 |
| Kelly Kramer | — | 1 other | 2018-01 |
| Barbara T. Walkowski | — | — | 2012-08 |
| Benoit Dageville | — | — | 2012-08 |
| Chris T. Degnan | — | — | 2012-08 |
| Christian Kleinerman | — | — | 2026-02 |
| Christopher L. Degnan | — | — | 2018-10 |
| Christopher P. Degnan | — | — | 2020-02 |
| Christopher T. Degnan | — | — | 2018-01 |
| Christopher W. Degnan | — | — | 2018-01 |
Snowflake Computing, Inc. is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Discovered from snowflake — the partnerships, launches, hiring and press it publishes about itself. Evidence the company is alive and what it is doing now, not financial data.
Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| Observe, Inc. | Other Technology | Series D+ | $269.8M | $1.1B | network4 shared operators |
| Sigma Computing, Inc. | AI / ML | Series D+ | $675.3M | $3.4B | network2 shared operators · same sector |
| Lacework, Inc. | Computers | Growth/Late | $1.7B | $33.6B | network2 shared operators · same stage |
| Figma, Inc. | AI / ML | Growth/Late | $715.5M | $6.4B | network1 shared operator · same sector · same stage |
| Clinigence Holdings, Inc. | AI / ML | Growth/Late | $2.5B | $56.0M | same sector · same stage |
| Maplebear Inc. | Other Technology | Growth/Late | $2.0B | $5.7B | network1 shared operator · same stage |
| GoPivotal, Inc. | Computers | Growth/Late | $1.7B | $25.5B | network1 shared operator · same stage |
| Attentive Mobile Inc. | AI / ML | Growth/Late | $922.1M | $2.0B | same sector · same stage |
Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| Chaos Genius DataOps Observability Platform for Snowflake | Developer Tools | — | — | 79% |
| Databricks, Inc. Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform. | AI / ML | Growth/Late | $41.5B | 79% |
| TableFlow AI Teammates for Data Tasks | AI / ML | — | — | 76% |
| Halluminate Data and RL environments to automate knowledge work | AI / ML | — | — | 76% |
| Datafruit The AI workspace for software implementations | AI / ML | — | — | 75% |
| KERNEL Crazy fast, open source infra for AI agents to use the Internet | AI / ML | — | — | 75% |
| Roboflow, Inc. 🖼️ Give your software the sense of sight. | AI / ML | Series B | $293.5M | 75% |
| HelixDB The fastest & most scalable graph-vector database on the market | AI / ML | — | — | 75% |
See where Snowflake Computing, Inc. sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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